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KMID : 0380420170410030129
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Journal of Prventive Veterinary Medicine
2017 Volume.41 No. 3 p.129 ~ p.132
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Use of a multinomial logistic regression model to evaluate risk factors for porcine circovirus type 2 infection on pig farms in the Republic of Korea
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Kim Eu-Tteum
Pak Son-Il
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Abstract
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The current study identified risk factors associated with porcine circovirus type 2 (PCV2) infection on pig farms in the Republic of Korea using a multinomial logistic regression model to evaluate the PCV2 infection status of pigs at different growth stages. Compulsory disinfection of visitors (odds ratio [OR]: 0.019, 95% confidence interval [CI]: <0.001-0.378, p=0.0095), compulsory registration of visitors (OR: 0.002, 95% CI: <0.001-0.184, p=0.0070), regular blood testing (OR: 0.012, 95% CI: <0.001-0.157, p=0.0007), and running on-farm biosecurity learning programs for workers (OR: 0.156, 95% CI: 0.040 -0.604, p=0.0072 and OR: 0.201, 95% CI: 0.055-0.737, p=0.0155, respectively) were identified as factors which could reduce the risk of PCV2 infection. However, visitation by a regular veterinarian (OR: 32.733, 95% CI: 3.768-284.327, p=0.0016) was associated with PCV2 infection.
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KEYWORD
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Porcine circovirus type 2, risk factor analysis, multinomial logistic regression model, biosecurity
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